ApeRAG - Production-ready Graph RAG with advanced AI agents
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ApeRAG is a production-ready RAG platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Open source version of Tencent IMA.
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ApeRAG is a fully open-source, easy-to-deploy Agentic Graph RAG platform.
We started as LightRAG users, but quickly ran into limitations: no knowledge base isolation, no concurrency (so document processing was painfully slow), no multi-process deployment, and no agent support. That’s why we built ApeRAG — to solve these challenges.
With ApeRAG, documents are precisely parsed using MinerU and organized into five powerful indexes: Graph, Vector, Full-text, Summary, and Vision, enabling robust multimodal capabilities.
ApeRAG also:
- Works with MCP tools and can run as an MCP server.
- Supports full Agent integration.
- Includes a Collection Marketplace for sharing and distributing your knowledge bases.
- Is completely open-source and ready to deploy on Kubernetes and Docker Compose.
If you’ve been looking for a faster, more flexible, and fully agent-ready alternative to existing RAG solutions — ApeRAG is here for you. 🚀
Replies
ApeRAG is a fully open-source, easy-to-deploy Agentic Graph RAG platform.
We started as LightRAG users, but quickly ran into limitations: no knowledge base isolation, no concurrency (so document processing was painfully slow), no multi-process deployment, and no agent support. That’s why we built ApeRAG — to solve these challenges.
With ApeRAG, documents are precisely parsed using MinerU and organized into five powerful indexes: Graph, Vector, Full-text, Summary, and Vision, enabling robust multimodal capabilities.
ApeRAG also:
- Works with MCP tools and can run as an MCP server.
- Supports full Agent integration.
- Includes a Collection Marketplace for sharing and distributing your knowledge bases.
- Is completely open-source and ready to deploy on Kubernetes and Docker Compose.
If you’ve been looking for a faster, more flexible, and fully agent-ready alternative to existing RAG solutions — ApeRAG is here for you. 🚀
https://github.com/apecloud/ApeRAG